KACST, Kingdom of Saudi Arabia;
Electrical Engineering Department, Menoufia University, Egypt;
KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS);
KACST, Kingdom of Saudi Arabia;
KACST, Kingdom of Saudi Arabia;
KACST, Kingdom of Saudi Arabia;
KACST, Kingdom of Saudi Arabia;
KACST, Kingdom of Saudi Arabia;
Covariance matrices; Detectors; Feature extraction; Electroencephalography; Epilepsy; Support vector machines; Sensitivity;
机译:基于L1范数的头皮脑电BCI常见空间模式分解
机译:基于时空复杂度的头皮脑电图癫痫发作自动检测
机译:检测长期人类脑电图中的癫痫发作:自动在线和实时检测和多态性癫痫发作模式分类的新方法。
机译:ScalP EEG癫痫发作检测的常见空间模式方法
机译:一种新颖的颅内脑电图癫痫发作检测方法。
机译:基于L1范数的头皮脑电BCI常见空间模式分解
机译:基于L1范数的头皮脑电BCI常见空间模式分解